For the 3D printing multi-objective optimization task scheduling problem, problem model is established from three aspects of related definition, constraint conditions, and objective function, which lays foundation for subsequent research solution.

This paper proposes a novel Self-Adaptive algorithm for Multi-Objective Constrained Optimization by using Radial Basis Function Approximations, SAMO-COBRA. The automatically determines the best Function-fit as surrogates objectives well constraints, to find new feasible Pareto-optimal solutions. also uses hyper-parameter tuning on fly improve its local search strategy. In every iteration one so...

efficient and on-time maintenance plays a crucial role inreducing cost and increasing the market share of an industrial unit. preventivemaintenance is a broad term that encompasses a set of activitiesaimed at improving the overall reliability and availability of a systembefore machinery breakdown. the previous studies have addressed thescheduling of preventive maintenance. these studies have co...